Give Your Slack a Memory: A Cognee and Qdrant Hack Night

Knowledge within your team is hidden in Slack threads that nobody can find again. Cognee and Qdrant are joining forces for an evening of building. We'll demonstrate how to create a memory and retrieval system on top of your Slack workspace. This system ingests conversations, identifies patterns, and transforms them into agentic SKILLs. Each SKILL retrieves the most relevant context for your task and constructs structured memory from your unstructured data. What you'll build Collaborating in small teams (or solo, if you prefer), you'll connect Cognee's memory engine with Qdrant's vector search to provide real recall for a Slack workspace. By the end of the night you will: Show us what you have You will have 2 minutes to present a demo in which you: 🏆 1,200€ Cash Pool Main Prizes: 🥇 Prize: 600€ cash 🥈 Prize: 400€ cash 🥉 Prize: 200€ cash Plus fantastic swag from both Qdrant and Cognee for all participants. Schedule Bring a laptop. We'll have API keys, sample datasets, and support from both teams to help you resolve any issues. Limited spots available. If you can't make it, please cancel your RSVP so we can offer your place to someone else. Photos will be taken throughout the event and may be used by Cognee afterwards. About Qdrant: Qdrant is an open-source vector search engine designed to manage high-dimensional data at scale. It powers the retrieval layer for some of the most demanding AI applications in production today, from RAG pipelines to recommendation systems to AI agents, providing developers with fast, accurate similarity search wherever it's required. About Cognee: Cognee is an open-source AI memory engine that turns unstructured data into persistent, queryable memory. It allows AI agents to store, retrieve, and reason over information across time and infrastructure, enabling the development of reliable, adaptive, and stateful AI systems that function seamlessly across cloud and local environments.